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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design.   This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation. Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.

Automatic control. --- Chemometrics. --- Neural networks (Computer science). --- Radial basis functions. --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Neural networks (Computer science) --- Basis functions, Radial --- Functions, Radial basis --- Radial basis function method --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Control engineering --- Control equipment --- Engineering. --- Computational intelligence. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Control. --- Vibration, Dynamical Systems, Control. --- Computational Intelligence. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Cycles --- Sound --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Natural computation --- Construction --- Industrial arts --- Technology --- Approximation theory --- Control and Systems Theory. --- Neural networks (Computer science) .

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Sliding mode control. --- MATLAB. --- Automatic control --- MATLAB (Computer program) --- MATLAB (Computer file) --- Matrix laboratory

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This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm. The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural contro l and intelligent optimization algorithms, providing several engineering application examples for each method.

Methodology of economics --- Materials sciences --- Engineering sciences. Technology --- Production management --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- Matlab (informatica) --- financieel management --- mechatronica --- DFMA (design for manufacture and assembly) --- industriële robots --- vormgeving --- automatisering --- mineralen (chemie) --- simulaties --- mijnbouw --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen

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"Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation" takes readers through the basic concepts, covering the most recent research in sliding mode control. The book is written from the perspective of practical engineering and examines numerous classical sliding mode controllers, including continuous time sliding mode control, discrete time sliding mode control, fuzzy sliding mode control, neural sliding mode control, backstepping sliding mode control, dynamic sliding mode control, sliding mode control based on observer, terminal sliding mode control, sliding mode control for robot manipulators, and sliding mode control for aircraft. This book is intended for engineers and researchers working in the field of control. Dr. Jinkun Liu works at Beijing University of Aeronautics and Astronautics and Dr. Xinhua Wang works at the National University of Singapore.

Sliding mode control. --- Automatic control. --- Engineering. --- System theory. --- Vibration. --- Dynamical systems. --- Dynamics. --- Aerospace engineering. --- Astronautics. --- Control engineering. --- Industrial engineering. --- Production engineering. --- Control. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Aerospace Technology and Astronautics. --- Industrial and Production Engineering. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Automatic control --- Systems theory. --- Control and Systems Theory. --- Space sciences --- Aeronautics --- Astrodynamics --- Space flight --- Space vehicles --- Cycles --- Mechanics --- Sound --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Aeronautical engineering --- Astronautics --- Systems, Theory of --- Systems science --- Science --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Philosophy

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This book presents theoretical explorations of several fundamental problems in the dynamics and control of flexible beam systems. By integrating fresh concepts and results to form a systematic approach to control, it establishes a basic theoretical framework. It includes typical control design examples verified using MATLAB simulation, which in turn illustrate the successful practical applications of active vibration control theory for flexible beam systems. The book is primarily intended for researchers and engineers in the control system and mechanical engineering community, offering them a unique resource.

Continuum mechanics. --- Flexible structures. --- Mechanics. --- Mechanics, Applied. --- Astronautics. --- Control, Robotics, Mechatronics. --- Classical Mechanics. --- Solid Mechanics. --- Aerospace Technology and Astronautics. --- Space sciences --- Aeronautics --- Astrodynamics --- Space flight --- Space vehicles --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Control engineering. --- Robotics. --- Mechatronics. --- Aerospace engineering. --- Aeronautical engineering --- Astronautics --- Engineering --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers